Multi pass strategy: As in [1]}, we find it effective to take a couple passes over the data; particularly in datasets with high neuron density, the first NMF pass might miss some dim neurons. We decrease the MAD threshold \(\delta \)  and re-run Algorithm REF  on the residual to find additional components, and then run a final merge and NMF update to complete the pipeline.
